Dot-product attention is a core module in the present generation of neur...
Building robust multimodal models are crucial for achieving reliable
dep...
Automatic transfer of text between domains has become popular in recent
...
The majority of existing methods for empathetic response generation rely...
Controlling neural network-based models for natural language generation ...
Recognizing the cause behind emotions in text is a fundamental yet
under...
Domain divergence plays a significant role in estimating the performance...
Multimodal Sentiment Analysis is an active area of research that leverag...
Cross-domain sentiment analysis has received significant attention in re...
Sentiment analysis as a field has come a long way since it was first
int...
Recognizing emotions in conversations is a challenging task due to the
p...
Sarcasm is often expressed through several verbal and non-verbal cues, e...
With the multitude of companies and organizations abound today, ranking ...
Emotion detection in conversations is a necessary step for a number of
a...
Emotion recognition in conversations is a challenging Artificial Intelli...
The literature in automated sarcasm detection has mainly focused on lexi...
Sentiment analysis is proven to be very useful tool in many applications...
Deep learning methods employ multiple processing layers to learn hierarc...
We propose a framework for multimodal sentiment analysis and emotion
rec...
Sarcasm detection is a key task for many natural language processing tas...